class_docstr: Container mirroring Sklearn anomaly detection API.
code: def __init__(self, model, n_threads, batch_size, extra_config={}):
      super(SklearnContainerAnomalyDetection, self).__init__(
          model,
          n_threads,
          batch_size,
          is_regression=False,
          is_anomaly_detection=True,
          extra_config=extra_config,
      )
  
imports: from abc import ABC, abstractmethod
  from hummingbird.ml._utils import pandas_installed
  from hummingbird.ml.operator_converters import constants
label_desc: Use image node_id 1 to create a new SklearnContainerAnomalyDetection object from inherited base classes: SklearnContainerRegression with example: obj = SklearnContainerAnomalyDetection(model, n_threads, batch_size, extra_config)